Analysis of earnings forecast of blockchain financial products based on particle swarm optimization

Volume: 372, Pages: 112724 - 112724
Published: Jul 1, 2020
Abstract
The purpose of this study is to solve the problems of large number of iterations, limitations and poor fitting effect of traditional algorithms in predicting the yield rate of blockchain financial products. In this study, bitcoin yield rate is taken as the research object, and data from June 2, 2016 to December 30, 2018 are collected, totaling 943 pieces. The BP neural network, support vector regression machine algorithm and particle swarm...
Paper Details
Title
Analysis of earnings forecast of blockchain financial products based on particle swarm optimization
Published Date
Jul 1, 2020
Volume
372
Pages
112724 - 112724
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